{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## There will be three (or four) kwargs:\n",
    "\n",
    "- `hline=` ... specify one or a list of prices to generate a ***horizontal line*** at that price level\n",
    "- `vline=` ... specify one or a list of dates/datetimes to generate a ***vertical line*** at that point in time\n",
    "- `aline=` ... specify one or more ***arbitrary line*** as\n",
    "  - list of two or more ***x,y values*** (multiple lines are contiguous)\n",
    "    - examples:\n",
    " `[(dateA,priceA),(dateB,priceB)]`\n",
    " `[(dateA,priceA),(dateB,priceB),(dateC,priceC),(dateD,priceD),...]`\n",
    "  - list of one or more ***x,y value pairs*** (multiple lines need not be contiguous)\n",
    "where a ***single x,y pair*** is like `((dateA,priceA),(dateB,priceB))`\n",
    "    - examples: \n",
    "`aline=((dateA,priceA),(dateB,priceB))`\n",
    "`aline=[((dateA,priceA),(dateB,priceB)),((dateC,priceC),(dateD,priceD)),...]`\n",
    "\n",
    "- `tline=` ... ***trend line*** (still deciding whether to implement this).\n",
    "  - specify two (or more) dates or datetimes:  mplfinance will ***automatically draw trend lines between the dates***.  An additional kwarg `tline_value` or something like that may specify which algorithm to use for calculating the trend line between any two dates.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Test Plan\n",
    "\n",
    "- Test each kwarg (`hline`, `vline`, `aline`, `tline`) on\n",
    "  - one month daily data\n",
    "  - a year or more of daily data\n",
    "  - a day or more of intraday data\n",
    "  \n",
    "- For each kwarg test:\n",
    "  - one line\n",
    "  - two or more lines\n",
    "\n",
    "- For all of the above test EVERY plot type (`ohlc`,`candle`,`line`,`renko`,`pnf`)\n",
    "\n",
    "- For `aline` test BOTH ways of specifying lines\n",
    "\n",
    "- For `vline` and `tline` test multiple ways of specifying dates\n",
    "\n",
    "- Test all of the above both WITH and WITHOUT `make_addplot()` data\n",
    "\n",
    "- For `tline` test with various `tline_value` settings.\n",
    "  \n",
    "---\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>3050.72</td>\n",
       "      <td>3066.95</td>\n",
       "      <td>3050.72</td>\n",
       "      <td>3066.91</td>\n",
       "      <td>510301237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-04</th>\n",
       "      <td>3078.96</td>\n",
       "      <td>3085.20</td>\n",
       "      <td>3074.87</td>\n",
       "      <td>3078.27</td>\n",
       "      <td>524848878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-01  3050.72  3066.95  3050.72  3066.91  510301237\n",
       "2019-11-04  3078.96  3085.20  3074.87  3078.27  524848878"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-27</th>\n",
       "      <td>3145.49</td>\n",
       "      <td>3154.26</td>\n",
       "      <td>3143.41</td>\n",
       "      <td>3153.63</td>\n",
       "      <td>421853938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>3147.18</td>\n",
       "      <td>3150.30</td>\n",
       "      <td>3139.34</td>\n",
       "      <td>3140.98</td>\n",
       "      <td>286602291</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-27  3145.49  3154.26  3143.41  3153.63  421853938\n",
       "2019-11-29  3147.18  3150.30  3139.34  3140.98  286602291"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily = pd.read_csv('../data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)\n",
    "daily.index.name = 'Date'\n",
    "daily.shape\n",
    "daily.head(2)\n",
    "daily.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.12.4a0'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import mplfinance as mpf\n",
    "mpf.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## tline TESTS:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open     3050.72\n",
       "Close    3066.91\n",
       "Name: 2019-11-01 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily.loc['2019-11-01',['Open','Close']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open      3.078960e+03\n",
       "High      3.085200e+03\n",
       "Low       3.074870e+03\n",
       "Close     3.078270e+03\n",
       "Volume    5.248489e+08\n",
       "Name: 2019-11-04 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily.loc['2019-11-02':,:].iloc[0,:]#['Open','Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>3147.18</td>\n",
       "      <td>3150.3</td>\n",
       "      <td>3139.34</td>\n",
       "      <td>3140.98</td>\n",
       "      <td>286602291</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low    Close     Volume\n",
       "Date                                                    \n",
       "2019-11-29  3147.18  3150.3  3139.34  3140.98  286602291"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = daily.loc[:'2019-11-30',:].tail(1)\n",
    "s\n",
    "len(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "3083.67"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = daily.loc['2019-11-09':,:].head(1)[['Open','Close']]\n",
    "len(s)\n",
    "s.mean(axis=1).values[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-08</th>\n",
       "      <td>3081.25</td>\n",
       "      <td>3093.08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "               Open    Close\n",
       "Date                        \n",
       "2019-11-08  3081.25  3093.08"
      ]
     },
     "execution_count": 9,
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     "output_type": "execute_result"
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     "execution_count": 9,
     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "3087.165"
      ]
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     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "s = daily.loc[:'2019-11-09',:].tail(1)[['Open','Close']]\n",
    "s\n",
    "len(s)\n",
    "s.mean(axis=1).values[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,tlines=[('2019-11-01','2019-11-14')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,tlines=[('2019-11-02','2019-11-13'),('2019-11-17','2019-11-21')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tl = dict(tlines=[('2019-11-02','2019-11-13'),('2019-11-17','2019-11-21')],\n",
    "          colors=['r','g','b'])\n",
    "mpf.plot(daily,tlines=tl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tl = dict(tlines=[('2019-11-02','2019-11-13'),('2019-11-17','2019-11-21'),('2019-11-21','2019-11-28')],\n",
    "          colors=['r','g','b'])\n",
    "mpf.plot(daily,tlines=tl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.dates as mdates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([737367., 737368., 737369., 737370., 737371., 737374., 737375.,\n",
       "       737376.])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "array([3078.615, 3077.71 , 3075.94 , 3086.1  , 3087.165, 3083.67 ,\n",
       "       3090.56 , 3089.11 ])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = daily.loc['2019-11-02':'2019-11-13'][['Open','Close']].mean(axis=1)\n",
    "x = mdates.date2num(s.index.to_pydatetime())\n",
    "y = s.values\n",
    "x\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7.37367e+05, 1.00000e+00],\n",
       "       [7.37368e+05, 1.00000e+00],\n",
       "       [7.37369e+05, 1.00000e+00],\n",
       "       [7.37370e+05, 1.00000e+00],\n",
       "       [7.37371e+05, 1.00000e+00],\n",
       "       [7.37374e+05, 1.00000e+00],\n",
       "       [7.37375e+05, 1.00000e+00],\n",
       "       [7.37376e+05, 1.00000e+00]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = np.vstack([x, np.ones(len(x))]).T\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.3334947228431702, -980197.03125)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slope, intercept = np.dot(np.linalg.inv(np.dot(a.T,a)), np.dot(a.T,y))\n",
    "slope, intercept"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(datetime.datetime(2019, 11, 4, 0, 0, tzinfo=datetime.timezone.utc),\n",
       " 3077.972048699856)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(datetime.datetime(2019, 11, 13, 0, 0, tzinfo=datetime.timezone.utc),\n",
       " 3089.9735012054443)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1, x2 = x[0], x[-1]\n",
    "y1 = slope*x1 + intercept\n",
    "y2 = slope*x2 + intercept\n",
    "x1 = mdates.num2date(x1)\n",
    "x2 = mdates.num2date(x2)\n",
    "x1, y1\n",
    "x2, y2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x724.5 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#mpf.plot(daily,tlines=tl,figscale=1.5)\n",
    "mpf.plot(daily,tlines=tl,tline_use=['close'],tline_method='least squares',figscale=1.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'tlines': [('2019-11-02', '2019-11-13'),\n",
       "  ('2019-11-17', '2019-11-21'),\n",
       "  ('2019-11-21', '2019-11-28')],\n",
       " 'colors': ['r', 'g', 'b']}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tl\n",
    "tl['tlines'] = [('2019-11-02','2019-11-28')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,tlines=tl,tline_use=['high'],tline_method='least squares')#,figscale=1.75)\n",
    "mpf.plot(daily,tlines=tl,tline_use=['close'],tline_method='least squares')#,figscale=1.75)\n",
    "mpf.plot(daily,tlines=tl,tline_use=['low'],tline_method='least squares')#,figscale=1.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tl = dict(tlines=[('2019-11-06','2019-11-13'),\n",
    "                  ('2019-11-17','2019-11-21'),\n",
    "                  ('2019-11-21','2019-11-26')],\n",
    "          colors=['r','g','b'])\n",
    "mpf.plot(daily,type='candle',tlines=tl)\n",
    "mpf.plot(daily,type='line',tlines=tl)\n",
    "mpf.plot(daily,type='renko',tlines=tl)\n",
    "mpf.plot(daily,type='pnf',tlines=tl,pnf_params=dict(box_size=3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Now a year or two of daily data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(504, 6)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>206.380005</td>\n",
       "      <td>206.880005</td>\n",
       "      <td>204.179993</td>\n",
       "      <td>205.429993</td>\n",
       "      <td>193.286972</td>\n",
       "      <td>121465900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>204.169998</td>\n",
       "      <td>204.369995</td>\n",
       "      <td>201.350006</td>\n",
       "      <td>201.720001</td>\n",
       "      <td>189.796265</td>\n",
       "      <td>169632600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2015-01-02  206.380005  206.880005  204.179993  205.429993  193.286972   \n",
       "2015-01-05  204.169998  204.369995  201.350006  201.720001  189.796265   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2015-01-02  121465900  \n",
       "2015-01-05  169632600  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-12-29</th>\n",
       "      <td>224.479996</td>\n",
       "      <td>224.889999</td>\n",
       "      <td>223.839996</td>\n",
       "      <td>224.350006</td>\n",
       "      <td>220.071533</td>\n",
       "      <td>47719500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>224.729996</td>\n",
       "      <td>224.830002</td>\n",
       "      <td>222.729996</td>\n",
       "      <td>223.529999</td>\n",
       "      <td>219.267166</td>\n",
       "      <td>108998300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2016-12-29  224.479996  224.889999  223.839996  224.350006  220.071533   \n",
       "2016-12-30  224.729996  224.830002  222.729996  223.529999  219.267166   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2016-12-29   47719500  \n",
       "2016-12-30  108998300  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../data/yahoofinance-SPY-20080101-20180101.csv',index_col=0,parse_dates=True)\n",
    "df = df.loc['2015-01-01':'2017-01-01',:]\n",
    "df.shape\n",
    "df.head(2)\n",
    "df.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "tl = dict(tlines=[('2015-09-06','2015-12-13'),\n",
    "                  ('2015-11-17','2016-07-21'),\n",
    "                  ('2016-08-21','2016-11-26')],\n",
    "          colors=['r','g','b'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'renko_bricks': [200.429993,\n",
       "  205.429993,\n",
       "  200.429993,\n",
       "  195.429993,\n",
       "  190.429993,\n",
       "  195.429993,\n",
       "  200.429993,\n",
       "  205.429993,\n",
       "  200.429993,\n",
       "  195.429993,\n",
       "  190.429993,\n",
       "  185.429993,\n",
       "  190.429993,\n",
       "  195.429993,\n",
       "  200.429993,\n",
       "  205.429993,\n",
       "  200.429993,\n",
       "  205.429993,\n",
       "  210.429993,\n",
       "  215.429993,\n",
       "  220.429993],\n",
       " 'renko_dates': [datetime.datetime(2015, 1, 5, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 2, 19, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 8, 20, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 8, 21, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 8, 21, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 10, 7, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 10, 22, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 11, 2, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 12, 17, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 1, 6, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 1, 12, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 2, 5, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 2, 24, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 3, 3, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 3, 29, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 6, 1, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 6, 24, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 7, 7, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 7, 13, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 11, 21, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 12, 8, 0, 0, tzinfo=datetime.timezone.utc)],\n",
       " 'renko_size': 5,\n",
       " 'minx': -0.9523809523809523,\n",
       " 'maxx': 20.952380952380953,\n",
       " 'miny': 185.429993,\n",
       " 'maxy': 225.429993}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'pnf_bricks': [200.429993,\n",
       "  200.429993,\n",
       "  195.429993,\n",
       "  195.429993,\n",
       "  192.929993,\n",
       "  192.929993,\n",
       "  200.429993,\n",
       "  207.929993],\n",
       " 'pnf_dates': [datetime.datetime(2015, 1, 5, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 2, 4, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 8, 19, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 10, 2, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2015, 12, 8, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 2, 16, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 6, 23, 0, 0, tzinfo=datetime.timezone.utc),\n",
       "  datetime.datetime(2016, 6, 28, 0, 0, tzinfo=datetime.timezone.utc)],\n",
       " 'pnf_size': 5,\n",
       " 'minx': -0.875,\n",
       " 'maxx': 7.875,\n",
       " 'miny': 192.929993,\n",
       " 'maxy': 212.929993}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpf.plot(df,type='candle',tlines=tl)\n",
    "\n",
    "mpf.plot(df,type='candle',tlines=tl)\n",
    "\n",
    "mpf.plot(df,type='line',tlines=tl)\n",
    "\n",
    "cv={}\n",
    "mpf.plot(df,type='renko',tlines=tl,renko_params=dict(brick_size=5),return_calculated_values=cv)\n",
    "cv\n",
    "\n",
    "cv = {}\n",
    "mpf.plot(df,type='pnf',tlines=[('2015-04-06','2016-1-13')],pnf_params=dict(box_size=5),return_calculated_values=cv)\n",
    "cv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Now Intraday Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1563, 5)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:30:00</th>\n",
       "      <td>3080.80</td>\n",
       "      <td>3080.49</td>\n",
       "      <td>3081.47</td>\n",
       "      <td>3080.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:31:00</th>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.36</td>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low  Volume\n",
       "Date                                                           \n",
       "2019-11-05 09:30:00  3080.80  3080.49  3081.47  3080.30       0\n",
       "2019-11-05 09:31:00  3080.33  3079.36  3080.33  3079.15       0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:58:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3091.04</td>\n",
       "      <td>3091.13</td>\n",
       "      <td>3090.58</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:59:00</th>\n",
       "      <td>3091.16</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3090.96</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low  Volume\n",
       "Date                                                           \n",
       "2019-11-08 15:58:00  3090.73  3091.04  3091.13  3090.58       0\n",
       "2019-11-08 15:59:00  3091.16  3092.91  3092.91  3090.96       0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('../data/SP500_NOV2019_IDay.csv',index_col=0,parse_dates=True)\n",
    "idf.shape\n",
    "idf.head(2)\n",
    "idf.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(idf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "tl = dict(tlines=[('2019-11-05 10:30','2019-11-05 13:00'),\n",
    "                  ('2019-11-07 10:00','2019-11-07 15:00'),\n",
    "                  ('2019-11-08 09:35','2019-11-08 16:00')],\n",
    "          colors=['r','g','b'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1563"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(idf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(idf,type='candle',tlines=tl,vlines='2019-11-07 9:30',hlines=dict(hlines=(3080,3087.5),colors='c'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'tlines': [('2019-11-05 10:30', '2019-11-05 13:00'),\n",
       "  ('2019-11-07 10:00', '2019-11-07 15:00'),\n",
       "  ('2019-11-08 09:35', '2019-11-08 16:00')],\n",
       " 'colors': ['r', 'g', 'b']}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x621 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tl\n",
    "tl['linestyle']  = 'dotted'\n",
    "tl['linewidths'] = 5\n",
    "\n",
    "kwargs = dict(tlines=tl,\n",
    "              vlines='2019-11-07 9:30',\n",
    "              hlines=dict(hlines=(3080,3087.5),colors='c',linestyle='-.',linewidths=[4,6,8])\n",
    "             )\n",
    "mpf.plot(idf,type='candle',**kwargs, figscale=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x621 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(idf,type='candle',**kwargs, figscale=1.5, show_nontrading=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
